Staff Software Engineer

Join Samsara as a Staff Software Engineer, focusing on our Developer Ecosystem and its critical role in the company's broader data and AI strategy. You will be a key technical leader, responsible for architecting and guiding high-impact, cross-functional initiatives that shape the future of our external integrations.

This role is pivotal in connecting our core developer products (API, Eventing, Lambdas, Marketplace) to the company's next-generation AI and data platforms. You will be a force-multiplier, empowering our largest enterprise customers and our internal engineering teams to build scalable, intelligent, and deeply integrated solutions on the Samsara platform.

This is a remote position open to candidates residing in Poland or the United Kingdom.

Responsibilities

• Architect the end-to-end data integration strategy, evolving our high-throughput Eventing platform (Kafka) into a comprehensive data pipeline
• Drive the strategy and architecture for our serverless compute (Lambda) capabilities, enabling developers to run complex logic
• Establish and champion the technical vision and architectural governance for our external API framework, ensuring consistency, scalability, and a world-class developer experience across all of Samsara's product lines.
• Act as a technical leader across the organization, mentoring senior engineers, leading design reviews for complex systems, and aligning stakeholders toward a unified technical direction.
• Partner with senior leadership (Product, Engineering) and our largest enterprise customers to define and execute a multi-year technical vision for Samsara's developer and data platform.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

• Deep, systems-level expertise in designing, building, and operating high-throughput, large-scale data streaming systems (e.g., Kafka).
• Proven experience in architecting and implementing AI-first data strategies, with a strong understanding of how event streams (Kafka) integrate with data lakes and data warehouses in a modern LakeHouse architecture.
• Demonstrable experience with serverless compute architectures (e.g., AWS Lambda) and their associated design patterns and trade-offs.
• Extensive experience in designing, building, and providing governance for large-scale, public-facing APIs (GraphQL preferred).
• A track record of leading complex, multi-team, and multi-quarter technical initiatives from inception to delivery.

• Experience with managed event streaming platforms (e.g., Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub).
• Deep familiarity with cloud data warehousing and data lake solutions (e.g., Snowflake, Databricks).
• Experience with ML/AI model deployment and MLOps infrastructure.